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扫描并评估 Power BI Gen1 数据流，生成迁移快照并执行升级为 Gen2.1 副本。
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "dataflows-save-as-authoring-cli" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/skills-for-fabric/main/skills/dataflows-save-as-authoring-cli/SKILL.md 2. 保存为 ~/.claude/skills/dataflows-save-as-authoring-cli/SKILL.md 3. 装好后重载技能，告诉我可以用了
请扫描指定 Power BI 工作区中的所有 Gen1 数据流，列出名称、所属工作区、所有者和可执行 save-as 的候选对象，并输出摘要表。
返回工作区内 Gen1 数据流清单，并标记适合继续做 save-as 评估的对象。
请对这个租户的 Gen1 数据流执行 save-as readiness assessment，检查七类风险信号，并生成 Save-As Readiness Snapshot，包含 markdown 报告和 JSON 结果。
输出每个数据流的就绪度结论、风险项明细，以及可用于审批或排期的快照报告。
请将目标 Gen1 数据流通过 SaveAsNativeArtifact API 创建为 Gen2.1 副本，随后检查数据完整性，并识别是否仍存在残留的 Gen1 引用。
返回升级执行结果、生成的新副本信息、验证结论，以及需要后续处理的残留依赖。
Update Check — ONCE PER SESSION (mandatory) The first time this skill is used in a session, run the check-updates skill before proceeding.
- GitHub Copilot CLI / VS Code: invoke the
check-updatesskill.- Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
- Skip if the check was already performed earlier in this session.
CRITICAL NOTES
- To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
- To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
A save-as companion for creating upgraded Gen2.1 copies from Power BI Gen1 dataflows using readiness assessment and guarded execution.
We currently cannot perform an in-place migration of your dataflow. We can use save-as to create an upgraded Gen2.1 copy while preserving the original Gen1 dataflow.
| Task | Reference |
|---|
| Notes |
|---|
| Finding Workspaces and Items in Fabric | COMMON-CLI.md § Finding Workspaces and Items | Mandatory — READ link first |
| Fabric Topology & Key Concepts | COMMON-CORE.md § Fabric Topology | |
| Environment URLs | COMMON-CORE.md § Environment URLs | |
| Authentication & Token Acquisition | COMMON-CORE.md § Authentication | Wrong audience = 401 |
| Core Control-Plane REST APIs | COMMON-CORE.md § Core REST APIs | Pagination, LRO polling, rate limits |
| Tool Selection Rationale | COMMON-CLI.md § Tool Selection | |
| Authentication Recipes | COMMON-CLI.md § Auth Recipes | az login flows and token acquisition |
Fabric Control-Plane API via az rest | COMMON-CLI.md § az rest | Always pass --resource |
| Gotchas & Troubleshooting (CLI) | COMMON-CLI.md § Gotchas | az rest audience, shell escaping |
| Quick Reference | COMMON-CLI.md § Quick Ref | Token audience / tool matrix |
| Dataflow Definition Structure | DATAFLOWS-AUTHORING-CORE.md § Definition | 3-part format for Gen2 CI/CD |
| Consumption Capability Matrix | DATAFLOWS-CONSUMPTION-CORE.md § Capabilities | Read-only discovery patterns |
| Upgrade CLI Quick Reference | upgrade-cli-quickref.md | All az rest one-liners for scanning & save-as |
| Risk Assessment Guide | risk-assessment-guide.md | Risk signal detection logic & API calls |
| Tool | Role | Install |
|---|---|---|
az CLI | Primary: Auth (az login), REST API calls (az rest) against both Fabric and Power BI APIs. | Pre-installed in most dev environments |
jq | Parse and filter JSON responses (dataflow lists, risk signal extraction). | Pre-installed or trivial |
base64 | Decode dataflow definitions for inspection. | Built into bash / [Convert]::ToBase64String() in PowerShell |
Agent check — verify before first operation:
az --version 2>/dev/null || echo "INSTALL: https://aka.ms/install-azure-cli" jq --version 2>/dev/null || echo "INSTALL: apt-get install jq OR brew install jq"
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